Prasanna Kasar
Developed a parser within SOFIE to parse Machine Learning models trained with Keras. Rewrote the existing parser in Python, which was previously written in C++. Added support for parsing missing layers, such as Pooling and LayerNormalization, and wrote unit tests for the parser.
Osama Ahmed Tahir
An intelligent logging pipeline for NopayloadDB that integrates log aggregation, anomaly detection, and monitoring. It improves reliability and maintainability in large-scale HEP experiments It is deployed on Minikube cluster while using a deep learning model for real-time anomaly detection.
Yolanne Lee
In high-energy physics experiments such as those at CERN’s ATLAS project, immense volumes of data are generated. This project explores the feasibility for “precision upsampling” using deep generative models to be used to reconstruct high-precision floating-point data from aggressively compressed representations.